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Record W4323343514 · doi:10.7202/1097148ar

Les habiletés relationnelles chez les enseignantes à la maternelle au Québec : un domaine de compétences socio-émotionnelles à développer pour favoriser leur bien-être

2023· article· fr· W4323343514 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenuePhronesis · 2023
Typearticle
Languagefr
FieldSocial Sciences
TopicEarly Childhood Education and Development
Canadian institutionsUniversité LavalUniversité du Québec à Trois-RivièresUniversité TÉLUQ
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

Cet article présente les résultats d’une recherche qualitative menée auprès de 16 enseignantes à la maternelle. L’objectif général était de déterminer les besoins de formation continue qui sont perçus prioritaires en ce qui a trait au développement des compétences socio-émotionnelles. Pour approfondir les données recueillies, les enseignantes ont été rencontrées en entrevues semi-dirigées. Les résultats révèlent entre autres des besoins liés aux habiletés relationnelles, l’un des domaines définis dans plusieurs travaux de la Collaborative for Academic, Social, and Emotional Learning [CASEL] (Zins et al., 2004). Ces résultats permettront de formuler des hypothèses de réflexion et d’action pouvant être mises en oeuvre dans le cadre de la formation continue des enseignantes de la maternelle, et ce, pour assurer non seulement leur bien-être, mais surtout, des relations interpersonnelles positives avec tous les partenaires impliqués dans ce travail dit relationnel.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.150
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.003

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.031
GPT teacher head0.287
Teacher spread0.255 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it